ASAP_FineTuningBERT_noAug_task1_organization_fold1

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4110
  • Qwk: 0.7053
  • Mse: 0.4110
  • Rmse: 0.6411

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Qwk Mse Rmse
No log 0.0149 2 9.6673 0.0 9.6673 3.1092
No log 0.0299 4 8.2915 0.0152 8.2915 2.8795
No log 0.0448 6 6.7749 0.0019 6.7749 2.6029
No log 0.0597 8 5.1933 -0.0002 5.1933 2.2789
No log 0.0746 10 3.8351 0.0110 3.8351 1.9583
No log 0.0896 12 2.7953 0.0123 2.7953 1.6719
No log 0.1045 14 2.1088 0.0 2.1088 1.4522
No log 0.1194 16 1.6576 0.0 1.6576 1.2875
No log 0.1343 18 1.2642 0.1780 1.2642 1.1244
No log 0.1493 20 1.0911 0.0568 1.0911 1.0445
No log 0.1642 22 0.9408 0.0106 0.9408 0.9700
No log 0.1791 24 0.8680 0.0 0.8680 0.9317
No log 0.1940 26 0.8533 0.0 0.8533 0.9237
No log 0.2090 28 0.8680 0.0769 0.8680 0.9316
No log 0.2239 30 0.9492 0.3677 0.9492 0.9743
No log 0.2388 32 0.8094 0.3940 0.8094 0.8997
No log 0.2537 34 0.6752 0.1435 0.6752 0.8217
No log 0.2687 36 1.1405 0.1871 1.1405 1.0679
No log 0.2836 38 0.8802 0.2208 0.8802 0.9382
No log 0.2985 40 0.6035 0.4604 0.6035 0.7769
No log 0.3134 42 0.9252 0.3881 0.9252 0.9619
No log 0.3284 44 0.9330 0.3548 0.9330 0.9659
No log 0.3433 46 0.6931 0.4832 0.6931 0.8325
No log 0.3582 48 0.5320 0.4662 0.5320 0.7294
No log 0.3731 50 0.5101 0.4412 0.5101 0.7142
No log 0.3881 52 0.6240 0.3112 0.6240 0.7899
No log 0.4030 54 0.5195 0.4066 0.5195 0.7207
No log 0.4179 56 0.5851 0.5517 0.5851 0.7649
No log 0.4328 58 0.7843 0.5155 0.7843 0.8856
No log 0.4478 60 0.7154 0.5230 0.7154 0.8458
No log 0.4627 62 0.5064 0.5509 0.5064 0.7116
No log 0.4776 64 0.4766 0.4830 0.4766 0.6904
No log 0.4925 66 0.5339 0.3993 0.5339 0.7307
No log 0.5075 68 0.4626 0.5077 0.4626 0.6801
No log 0.5224 70 0.4733 0.5739 0.4733 0.6880
No log 0.5373 72 0.4456 0.5641 0.4456 0.6675
No log 0.5522 74 0.5092 0.4611 0.5092 0.7136
No log 0.5672 76 0.6152 0.3750 0.6152 0.7843
No log 0.5821 78 0.4511 0.5355 0.4511 0.6717
No log 0.5970 80 0.5300 0.5823 0.5300 0.7280
No log 0.6119 82 0.9148 0.4758 0.9148 0.9565
No log 0.6269 84 0.9075 0.4691 0.9075 0.9526
No log 0.6418 86 0.6294 0.5564 0.6294 0.7933
No log 0.6567 88 0.5152 0.3912 0.5152 0.7178
No log 0.6716 90 0.6939 0.2999 0.6939 0.8330
No log 0.6866 92 0.5894 0.3166 0.5894 0.7678
No log 0.7015 94 0.4877 0.5258 0.4877 0.6984
No log 0.7164 96 0.7301 0.5164 0.7301 0.8545
No log 0.7313 98 0.9480 0.4004 0.9480 0.9736
No log 0.7463 100 0.9024 0.4180 0.9024 0.9500
No log 0.7612 102 0.6434 0.5640 0.6434 0.8021
No log 0.7761 104 0.5070 0.4119 0.5070 0.7120
No log 0.7910 106 0.6659 0.2676 0.6659 0.8160
No log 0.8060 108 0.8403 0.2739 0.8403 0.9167
No log 0.8209 110 0.7080 0.2820 0.7080 0.8414
No log 0.8358 112 0.4740 0.4394 0.4740 0.6885
No log 0.8507 114 0.4505 0.5628 0.4505 0.6712
No log 0.8657 116 0.4906 0.6017 0.4906 0.7004
No log 0.8806 118 0.4564 0.6050 0.4564 0.6756
No log 0.8955 120 0.4317 0.6227 0.4317 0.6570
No log 0.9104 122 0.4076 0.6194 0.4076 0.6385
No log 0.9254 124 0.4106 0.5758 0.4106 0.6408
No log 0.9403 126 0.4393 0.5755 0.4393 0.6628
No log 0.9552 128 0.4063 0.6023 0.4063 0.6374
No log 0.9701 130 0.4333 0.6376 0.4333 0.6582
No log 0.9851 132 0.4361 0.6199 0.4361 0.6604
No log 1.0 134 0.4395 0.6244 0.4395 0.6629
No log 1.0149 136 0.5318 0.6363 0.5318 0.7292
No log 1.0299 138 0.5356 0.6395 0.5356 0.7319
No log 1.0448 140 0.4219 0.6272 0.4219 0.6495
No log 1.0597 142 0.4490 0.5448 0.4490 0.6700
No log 1.0746 144 0.4485 0.5374 0.4485 0.6697
No log 1.0896 146 0.3999 0.5933 0.3999 0.6324
No log 1.1045 148 0.5310 0.6694 0.5310 0.7287
No log 1.1194 150 0.5782 0.5965 0.5782 0.7604
No log 1.1343 152 0.4435 0.6179 0.4435 0.6659
No log 1.1493 154 0.4067 0.5788 0.4067 0.6377
No log 1.1642 156 0.4944 0.5036 0.4944 0.7032
No log 1.1791 158 0.5225 0.4872 0.5225 0.7228
No log 1.1940 160 0.4267 0.5502 0.4267 0.6532
No log 1.2090 162 0.4229 0.6037 0.4229 0.6503
No log 1.2239 164 0.6407 0.6177 0.6407 0.8004
No log 1.2388 166 0.7832 0.6797 0.7832 0.8850
No log 1.2537 168 0.5729 0.6327 0.5729 0.7569
No log 1.2687 170 0.4706 0.6342 0.4706 0.6860
No log 1.2836 172 0.4741 0.6319 0.4741 0.6886
No log 1.2985 174 0.5484 0.6031 0.5484 0.7405
No log 1.3134 176 0.5063 0.6168 0.5063 0.7115
No log 1.3284 178 0.4268 0.6357 0.4268 0.6533
No log 1.3433 180 0.4418 0.7011 0.4418 0.6647
No log 1.3582 182 0.5272 0.6956 0.5272 0.7261
No log 1.3731 184 0.5128 0.6183 0.5128 0.7161
No log 1.3881 186 0.4121 0.6367 0.4121 0.6419
No log 1.4030 188 0.4393 0.5914 0.4393 0.6628
No log 1.4179 190 0.4722 0.4998 0.4722 0.6872
No log 1.4328 192 0.4620 0.5516 0.4620 0.6797
No log 1.4478 194 0.4884 0.6025 0.4884 0.6989
No log 1.4627 196 0.4582 0.6115 0.4582 0.6769
No log 1.4776 198 0.4404 0.6096 0.4404 0.6636
No log 1.4925 200 0.3885 0.5911 0.3885 0.6233
No log 1.5075 202 0.3844 0.5478 0.3844 0.6200
No log 1.5224 204 0.3915 0.5272 0.3915 0.6257
No log 1.5373 206 0.3759 0.5942 0.3759 0.6131
No log 1.5522 208 0.5195 0.6315 0.5195 0.7208
No log 1.5672 210 0.6342 0.5791 0.6342 0.7964
No log 1.5821 212 0.5630 0.6011 0.5630 0.7503
No log 1.5970 214 0.4732 0.6022 0.4732 0.6879
No log 1.6119 216 0.3933 0.6164 0.3933 0.6271
No log 1.6269 218 0.3833 0.5594 0.3833 0.6191
No log 1.6418 220 0.3783 0.5737 0.3783 0.6151
No log 1.6567 222 0.3738 0.5821 0.3738 0.6114
No log 1.6716 224 0.3777 0.6234 0.3777 0.6145
No log 1.6866 226 0.4346 0.6618 0.4346 0.6592
No log 1.7015 228 0.4812 0.6883 0.4812 0.6937
No log 1.7164 230 0.4978 0.6979 0.4978 0.7055
No log 1.7313 232 0.4036 0.6758 0.4036 0.6353
No log 1.7463 234 0.3841 0.6145 0.3841 0.6198
No log 1.7612 236 0.3860 0.6314 0.3860 0.6213
No log 1.7761 238 0.3809 0.6163 0.3809 0.6172
No log 1.7910 240 0.3804 0.5972 0.3804 0.6168
No log 1.8060 242 0.3807 0.6432 0.3807 0.6170
No log 1.8209 244 0.4307 0.6895 0.4307 0.6563
No log 1.8358 246 0.3976 0.6192 0.3976 0.6306
No log 1.8507 248 0.4072 0.5312 0.4072 0.6381
No log 1.8657 250 0.4003 0.5290 0.4003 0.6327
No log 1.8806 252 0.4424 0.6470 0.4424 0.6651
No log 1.8955 254 0.5031 0.6349 0.5031 0.7093
No log 1.9104 256 0.4471 0.6292 0.4471 0.6686
No log 1.9254 258 0.4276 0.6183 0.4276 0.6539
No log 1.9403 260 0.4228 0.6284 0.4228 0.6502
No log 1.9552 262 0.4118 0.6357 0.4118 0.6417
No log 1.9701 264 0.3963 0.6276 0.3963 0.6295
No log 1.9851 266 0.3928 0.6037 0.3928 0.6267
No log 2.0 268 0.4609 0.5279 0.4609 0.6789
No log 2.0149 270 0.4459 0.5564 0.4459 0.6678
No log 2.0299 272 0.4194 0.6890 0.4194 0.6476
No log 2.0448 274 0.4608 0.7074 0.4608 0.6788
No log 2.0597 276 0.4187 0.6986 0.4187 0.6471
No log 2.0746 278 0.3845 0.5839 0.3845 0.6201
No log 2.0896 280 0.4291 0.5466 0.4291 0.6550
No log 2.1045 282 0.3866 0.5815 0.3866 0.6218
No log 2.1194 284 0.4254 0.7118 0.4254 0.6522
No log 2.1343 286 0.5790 0.7540 0.5790 0.7609
No log 2.1493 288 0.4913 0.7269 0.4913 0.7009
No log 2.1642 290 0.3665 0.6680 0.3665 0.6054
No log 2.1791 292 0.3605 0.6344 0.3605 0.6004
No log 2.1940 294 0.3593 0.6495 0.3593 0.5994
No log 2.2090 296 0.3714 0.6787 0.3714 0.6094
No log 2.2239 298 0.4699 0.7101 0.4699 0.6855
No log 2.2388 300 0.5714 0.7495 0.5714 0.7559
No log 2.2537 302 0.4420 0.7054 0.4420 0.6648
No log 2.2687 304 0.3536 0.6379 0.3536 0.5946
No log 2.2836 306 0.3526 0.6309 0.3526 0.5938
No log 2.2985 308 0.3530 0.6300 0.3530 0.5942
No log 2.3134 310 0.4007 0.6909 0.4007 0.6330
No log 2.3284 312 0.6306 0.7703 0.6306 0.7941
No log 2.3433 314 0.6167 0.7733 0.6167 0.7853
No log 2.3582 316 0.4109 0.6874 0.4109 0.6410
No log 2.3731 318 0.3760 0.5771 0.3760 0.6131
No log 2.3881 320 0.4521 0.5130 0.4521 0.6724
No log 2.4030 322 0.4009 0.5375 0.4009 0.6332
No log 2.4179 324 0.3662 0.6514 0.3662 0.6051
No log 2.4328 326 0.4419 0.6991 0.4419 0.6648
No log 2.4478 328 0.4619 0.6961 0.4619 0.6796
No log 2.4627 330 0.5277 0.7092 0.5277 0.7264
No log 2.4776 332 0.4656 0.7045 0.4656 0.6823
No log 2.4925 334 0.4035 0.6701 0.4035 0.6352
No log 2.5075 336 0.3678 0.5933 0.3678 0.6065
No log 2.5224 338 0.3768 0.5488 0.3768 0.6138
No log 2.5373 340 0.3720 0.5577 0.3720 0.6099
No log 2.5522 342 0.3697 0.6139 0.3697 0.6080
No log 2.5672 344 0.4211 0.6798 0.4211 0.6489
No log 2.5821 346 0.4583 0.6917 0.4583 0.6770
No log 2.5970 348 0.4594 0.6946 0.4594 0.6778
No log 2.6119 350 0.3890 0.6588 0.3890 0.6237
No log 2.6269 352 0.3748 0.5595 0.3748 0.6122
No log 2.6418 354 0.3871 0.5340 0.3871 0.6222
No log 2.6567 356 0.3747 0.5588 0.3747 0.6122
No log 2.6716 358 0.3946 0.6269 0.3946 0.6282
No log 2.6866 360 0.5117 0.6851 0.5117 0.7154
No log 2.7015 362 0.5528 0.6816 0.5528 0.7435
No log 2.7164 364 0.4736 0.6508 0.4736 0.6882
No log 2.7313 366 0.4116 0.6420 0.4116 0.6415
No log 2.7463 368 0.4045 0.6370 0.4045 0.6360
No log 2.7612 370 0.4350 0.6881 0.4350 0.6595
No log 2.7761 372 0.4241 0.6798 0.4241 0.6512
No log 2.7910 374 0.4390 0.6986 0.4390 0.6626
No log 2.8060 376 0.4623 0.7127 0.4623 0.6799
No log 2.8209 378 0.4438 0.6979 0.4438 0.6662
No log 2.8358 380 0.4610 0.7061 0.4610 0.6789
No log 2.8507 382 0.4812 0.7010 0.4812 0.6937
No log 2.8657 384 0.4257 0.6435 0.4257 0.6524
No log 2.8806 386 0.4721 0.5524 0.4721 0.6871
No log 2.8955 388 0.4406 0.5567 0.4406 0.6638
No log 2.9104 390 0.3761 0.6542 0.3761 0.6133
No log 2.9254 392 0.4932 0.7180 0.4932 0.7023
No log 2.9403 394 0.6324 0.7138 0.6324 0.7953
No log 2.9552 396 0.5753 0.6843 0.5753 0.7585
No log 2.9701 398 0.6212 0.6846 0.6212 0.7882
No log 2.9851 400 0.5342 0.6759 0.5342 0.7309
No log 3.0 402 0.4734 0.6972 0.4734 0.6880
No log 3.0149 404 0.4535 0.6937 0.4535 0.6734
No log 3.0299 406 0.4176 0.7076 0.4176 0.6462
No log 3.0448 408 0.3632 0.6594 0.3632 0.6027
No log 3.0597 410 0.3703 0.6029 0.3703 0.6085
No log 3.0746 412 0.3684 0.6515 0.3684 0.6069
No log 3.0896 414 0.4348 0.7120 0.4348 0.6594
No log 3.1045 416 0.5878 0.7068 0.5878 0.7666
No log 3.1194 418 0.5912 0.7018 0.5912 0.7689
No log 3.1343 420 0.4226 0.7131 0.4226 0.6500
No log 3.1493 422 0.3867 0.6282 0.3867 0.6218
No log 3.1642 424 0.3885 0.6071 0.3885 0.6233
No log 3.1791 426 0.3936 0.7017 0.3936 0.6274
No log 3.1940 428 0.4327 0.7252 0.4327 0.6578
No log 3.2090 430 0.5145 0.7448 0.5145 0.7173
No log 3.2239 432 0.4753 0.7373 0.4753 0.6894
No log 3.2388 434 0.4190 0.7358 0.4190 0.6473
No log 3.2537 436 0.3753 0.6796 0.3753 0.6126
No log 3.2687 438 0.4064 0.7303 0.4064 0.6375
No log 3.2836 440 0.4973 0.7534 0.4973 0.7052
No log 3.2985 442 0.5971 0.7461 0.5971 0.7727
No log 3.3134 444 0.4462 0.7451 0.4462 0.6680
No log 3.3284 446 0.4232 0.7370 0.4232 0.6506
No log 3.3433 448 0.4462 0.7474 0.4462 0.6680
No log 3.3582 450 0.5026 0.7494 0.5026 0.7089
No log 3.3731 452 0.4813 0.7460 0.4813 0.6937
No log 3.3881 454 0.4089 0.7300 0.4089 0.6395
No log 3.4030 456 0.4312 0.7291 0.4312 0.6566
No log 3.4179 458 0.5304 0.7447 0.5304 0.7283
No log 3.4328 460 0.7126 0.7181 0.7126 0.8442
No log 3.4478 462 0.5610 0.7198 0.5610 0.7490
No log 3.4627 464 0.3854 0.6517 0.3854 0.6208
No log 3.4776 466 0.3770 0.6403 0.3770 0.6140
No log 3.4925 468 0.3833 0.6501 0.3833 0.6191
No log 3.5075 470 0.3753 0.6249 0.3753 0.6126
No log 3.5224 472 0.3836 0.6575 0.3836 0.6193
No log 3.5373 474 0.3968 0.6666 0.3968 0.6299
No log 3.5522 476 0.4610 0.7057 0.4610 0.6789
No log 3.5672 478 0.4321 0.7028 0.4321 0.6573
No log 3.5821 480 0.3800 0.6544 0.3800 0.6164
No log 3.5970 482 0.3968 0.6882 0.3968 0.6299
No log 3.6119 484 0.4305 0.6972 0.4305 0.6561
No log 3.6269 486 0.4707 0.7170 0.4707 0.6861
No log 3.6418 488 0.5214 0.7179 0.5214 0.7221
No log 3.6567 490 0.4382 0.7109 0.4382 0.6620
No log 3.6716 492 0.4126 0.7105 0.4126 0.6423
No log 3.6866 494 0.4528 0.7253 0.4528 0.6729
No log 3.7015 496 0.3836 0.6819 0.3836 0.6194
No log 3.7164 498 0.3781 0.6713 0.3781 0.6149
0.6474 3.7313 500 0.4215 0.7153 0.4215 0.6492
0.6474 3.7463 502 0.6073 0.7437 0.6073 0.7793
0.6474 3.7612 504 0.6388 0.7402 0.6388 0.7992
0.6474 3.7761 506 0.5847 0.7417 0.5847 0.7647
0.6474 3.7910 508 0.4503 0.7353 0.4503 0.6711
0.6474 3.8060 510 0.3874 0.6815 0.3874 0.6224
0.6474 3.8209 512 0.4202 0.7194 0.4202 0.6482
0.6474 3.8358 514 0.4399 0.7281 0.4399 0.6633
0.6474 3.8507 516 0.3844 0.6692 0.3844 0.6200
0.6474 3.8657 518 0.4161 0.5757 0.4161 0.6451
0.6474 3.8806 520 0.3908 0.6204 0.3908 0.6252
0.6474 3.8955 522 0.4025 0.7023 0.4025 0.6344
0.6474 3.9104 524 0.4419 0.7280 0.4419 0.6648
0.6474 3.9254 526 0.5433 0.7469 0.5433 0.7371
0.6474 3.9403 528 0.5476 0.7441 0.5476 0.7400
0.6474 3.9552 530 0.3940 0.6945 0.3940 0.6277
0.6474 3.9701 532 0.3635 0.6672 0.3635 0.6029
0.6474 3.9851 534 0.3630 0.6303 0.3630 0.6025
0.6474 4.0 536 0.3863 0.6850 0.3863 0.6216
0.6474 4.0149 538 0.4110 0.7053 0.4110 0.6411

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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